LAUSR

Corrected Bayesian Information Criterion for Stochastic Block Models

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0 Published in 2019 at "Journal of the American Statistical Association"

DOI: 10.1080/01621459.2019.1637744

Abstract: Abstract Estimating the number of communities is one of the fundamental problems in community detection. We re-examine the Bayesian paradigm for stochastic block models (SBMs) and propose a “corrected Bayesian information criterion” (CBIC), to determine… read more here.

Keywords: corrected bayesian; criterion; block models; bayesian information ... See more keywords